Tag: Artificial Intelligence

Latest Read: AI Ethics

Post author By Don Kasprzak
Post date December 31, 2021

AI Ethics by Mark Coeckelbergh. Mark is Professor of Philosophy of Media and Technology at the University of Vienna.

In addition, he is the President of the Society for Philosophy and Technology, member of the High Level Expert Group on Artificial Intelligence for the European Commission, member of the Austrian robotics council.

Mark is also a member of the editorial advisory boards of AI and Sustainable Development, The AI Ethics Journal, Cognitive Systems Research, Science and Engineering Ethics, and Journal of Information, Communication and Ethics in Society.

In addition, Mark brings a wealth of ethics experience to address Artificial intelligence (AI). This book is directed at new audiences to AI, showing how there is a real need to understand the impact of bias surrounding these technologies.

One will certainly appreciate Mark’s academic approach to explaining history’s many attempts to create knowledge in various forms. Indeed, Mark creates a good foundation for AI and it’s downstream technologies including Neural Networks, Deep Learning, Machine Learning, and ultimately Trustworthy AI.

Artificial intelligence (AI) is the biggest buzzword in the marketplace today. For those pushing AI-based solutions, we are living in the best time for humanity. However, many even within IT, mathmetmatics, and researchers are able to forecast the worst things possible.

Tags AI Ethics, Artificial Intelligence, Mark Coeckelbergh

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Latest Read: AI 2041

Post author By Don Kasprzak
Post date December 15, 2021

AI 2041: Ten Visions for Our Future by Kai-Fu Lee and Chen Qiufan. Kai-Fu is a leading AI researcher. with a Ph.D. from Carnegie Mellon University. He landed at Apple in 1990 for a decade, then went to SGI.

Kai-Fu has previously served as the founding director of Microsoft Research Asia, then president of Google China, He departed to launch Sinovation Ventures, a venture capital firm in Beijing.

Over the course of my career I have grown rather confident that technology predications never really develop as projected. Hence, AI 2041 is no exception. While I do appreciate Chen’s writing skills, these predications are a real miss on the AI front.

In addition, each story begins with a brief note by Kai-Fu followed by Chen’s story. I must admit that I am certainly not really a fan of fiction, yet the detail writing by Chen is striking. Kai-Fu then closes each story with an accurate analysis of AI technologies key to the story.

Chapter Three: Twin Sparrows

Twin Sparrows, is certainly the best written chapter IMHO. The implementation of natural language processing, self-supervised training, and AI education made for a unique story, although straining at times.

Tags AI 2041, Artificial Intelligence, Kai-Fu Lee

Artificial Intelligence Education Reading

Latest Read: AI Superpowers

Post author By Don Kasprzak
Post date December 10, 2021

AI Superpowers: China, Silicon Valley, and the New World Order
by Kai-Fu Lee. He developed an advanced continuous speech recognition system during his Ph.D. work at Carnegie Mellon University in the early 1980s. He landed at Apple in 1990 for a decade, then went to SGI.

Since 2000 Kai-Fu served as the founding director of Microsoft Research Asia, then president of Google China, He departed to launch Sinovation Ventures, a venture capital firm in Beijing.

This book weaves in and out of AI technology developments. It is both surprising and disappointing. Many have certainly noted this is more or less propaganda for China. By the fourth chapter, I began wondering if Kai-Fu is considering a run for Chinese President.

Kai-Fu addresses in chapter 5, the four waves of AI: Internet AI, Business AI, Perception AI, and Autonomous AI. Elements of each wave appear even today, a bit far fetched for a democracy. However within a state controlled economy, China can force changes described across all four. With the US Population at 331 million compared to China’s 1.4 million, statements that China produces more data for AI system is certainly not a watershed thought. Certainly China will produce more data for AI systems than many country populations combined.

The AI shopping cart?

The idea of an AI enhanced shopping cart with a built-in LCD display and recognizes your shopping history upon touch, as you enter any Chinese local Yonghui superstore referenced in “Where every shopping cart knows your name” seems to still be a foreign concept across America’s grocery stores. Too many privacy concerns for the West. In addition, this was published prior to COVID. Today this idea certainly will be replaced by AI-enhanced mobile apps, or Internet AI as Kai-Fu is referencing above.

Tags AI Superpowers, Artificial Intelligence, china, Kai-Fu Lee

Artificial Intelligence Education Innovation Reading

Latest Read: Artificial Intelligence HBR Insights

Post author By Don Kasprzak
Post date November 5, 2021

Artificial Intelligence: The Insights You Need from Harvard Business Review by Thomas H. Davenport, Erik Brynjolfsson, Andrew McAfee, and H. James Wilson. This HBR series is certainly a very good collection of essays from leading AI experts.

Thomas H. Davenport is a Distinguished Professor in Management and Information Technology at Babson College, a research fellow at the MIT Initiative on the Digital Economy, and a senior adviser at Deloitte Analytics. Erik Brynjolfsson is the director of MIT’s Initiative on the Digital Economy, Professor of Management Science at the MIT Sloan School of Management, and a research associate at NBER. H. James Wilson is a managing director of information technology and business research at Accenture Research. Andrew McAfee is a principal research scientist at MIT, studies how digital technologies are changing business, the economy, and society.

Indeed, this is not a general introduction to AI for business. At the same time, this does present readers with business advantages and challenges. There is no coding and the book is not full of technical jargon.

The messaging across this book is direct and startling for some: if your organization is not using AI you will soon be obsolete. This should not be a surprise since AI was ‘born’ in 1956. Yes, the last decade’s computing performance both on-prem and in the cloud have pushed AI further into markets. Yet the competitive lessons are valuable.

Tags Artificial Intelligence, Automation, Data management, Innovation, Organizational learning

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Latest Read: Artificial Intelligence

Post author By Don Kasprzak
Post date October 28, 2021

Artificial Intelligence: A Guide for Thinking Humans by Melanie Mitchell. Melanie holds a PhD in computer science from the University of Michigan. Melanie is a professor of computer science at Portland State University. In addition, she is an external professor at the Santa Fe Institute.

It is certainly very rare that a book makes an impact like Melanie’s effort. Actually, this is one rare event: I would recommend everyone read her prologue “Terrified” regardless of their life’s path. Yes, this book is that powerful.

Furthermore, Melanie studied with a leading cognitive scientist Douglas Hofstadter at Michigan and collaborated to create the Copycat program, which makes creative analogies in an idealized world.

Upon finishing the prologue, everyone should certainly continue reading. This is an easy to read, yet deep examination of the current state of artificial intelligence.

In addition, Melanie provides a good history of artificial intelligence (AI), from inception in 1954 to multiple “freezes” in AI funding to the promise of amazing breakthroughs and shocking failures. Every element for better or worse is evenly written. Bravo!

Certainly the most impressive points across each chapter is how Melanie grounds user’s expectations of AI versus the hype. This is both from the consumer to artificial intelligence engineers.

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